RESEPI-HESAI XT32M2X – From Inertial Labs, Manufactured In USA

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The RESEPI XT-32M2X was strategically designed for multiple application bases with mounting options for mobile vehicles, DJI supported drones (DJI M300, M600 Pro), custom drones, handheld platforms, vehicles, the Freefly Alta-X, and many more. Because of this diverse mounting portfolio, the RESEPI can be used for many services including utilities mapping (power lines), construction volumetrics, site surveying, precision agriculture, forestry, mining operations, and much more.

Introduction of RESEPI™ Hesai XT-32 LiDAR Scanner

About Inertial Labs

Inertial Labs is at the forefront of developing and manufacturing position and orientation technologies for the commercial sector, government, defense, and aerospace. Inertial Labs’ product catalog includes Inertial Measurement Units (IMU), Inertial Navigation Systems (INS), Motion Reference Units (MRU), and Wave Sensors (WS) along with RESEPI, our LiDAR scanning and mapping package. We supply solutions for land, sea, and air to exacting customers from some of the largest organizations in the world.

RESEPI Overview

RESEPI™ (Remote Sensing Payload Instrument) is a sensor-fusion platform designed for accuracy-focused remote sensing applications. RESEPI utilizes a high-performance Inertial Labs INS (GPS-Aided Inertial Navigation System) with a tactical-grade IMU and a high-accuracy single or dual-antenna GNSS receiver, integrated with a Linux-based processing core and data-logging software. The platform also provides a WiFi interface, optional imaging module, and external cellular modem for RTCM corrections. RESEPI can be operated by a single hardware button or from a wirelessly connected device via a simple web interface.

RESEPI WITH HESAI XT-32M2X

RESEPI with HESAI’s XT-32M2X makes use of Hesai’s enhanced M2X LiDAR scanner features lighter weight and extended detection over the XT-32 LiDAR. It enables an M2X-equipped RESEPI to fly longer, combined with a higher recommended AGL and wider vertical FOV to more effectively map larger areas and sites with dense vegetation cover. It is an all-around desirable system, offering the benefits of best-in-class data accuracy, better detection range, high point density, and versatility.

Key System Features of RESEPI™ Hesai XT-32M2X LiDAR Scanner

  • System Vertical Accuracy:  2 – 3 cm(1)
  • Precision: 2 – 4 cm(2)
  • Precision:  (1σ Noise Removal) 1.5 – 2.5 cm (3)
  • Recommended AGL: Up to 150m
  • Weight: 1.4 kg (with camera), 1.0 kg (without camera)
  • Dimensions: 20.8 x 16.5 x 14.2 (cm)
  • Max Flight Time (DJI M300):  33 minutes
  • External Storage:  256 GB USB Included
  • System Computer: Quad Core, 1GB RAM,8GB eMMC
  • Operational Voltage Range: 9-45V
  • Power Consumption:  17W

RESEPI™ Hesai XT-32M2X Specs

Notes:

(1)(2)Single Pass, 50m AGL, 5m/s, Nadir, Values Based on Inertial Labs Test
Conditions.
(3)Single Pass, 50m AGL, 5m/s, Nadir, Single Noise Removal, Values Based on
Inertial Labs Test Conditions.
(4)Varies by measurement range.
(5)For select models.
(6) (7)Maximum available; dependent on receiver configuration.
(8)Dynamic accuracy is dependent on type of motion.
(9)Dynamic accuracy is dependent on type of motion; RTK with a 1-meter baseline.

RESEPI™ Hesai XT-32M2X LiDAR Applications & Downloads

Vehicle mounted LiDAR Scanning for RESEPI Payloads

RESEPI Payload can also be mounted on a vehicle for mobile scanning applications. 

RESEPI MOBILE SCANNING INSTALLATION
RESEPI XT32M2X on the vehilce

Mobile Scanning Dataset

Location: Yarra Glen, Victoria 3775, Australia

RESEPI XT32M2X Mobile Scannign Dataset

FAQ About RESEPI™ Hesai XT-32M2X LiDAR Scanner

The FAQ about RESEPI Payloads is coming soon. 

Data Processing Software For RESEPI Payloads

Pre-processing

To get the .las format high quality point cloud out of the RESEPI LiDAR payloads for drone, vehicle mounted as wellas SLAM applicaiton. 

Post-processing

Once the .las file is generated from PCMaster Pro, then you can use following point cloud processing software to genarate the final deliverables required. 

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